Dissecting Algorithmic Bias in Online Mental Health Resources
The digital landscape is rapidly evolving to offer mental health support. However, these tools often rely algorithms that can perpetuate existing societal biases. This raises a serious issue as users seeking aid may encounter prejudiced outcomes based on their ethnicity, gender, or other protected c